Sea ice classification using multi-frequency polarimetric SAR data

TitleSea ice classification using multi-frequency polarimetric SAR data
Publication TypeConference Paper
Year of Publication2002
AuthorsScheuchl, B., I. Hajnsek, and I. Cumming
Conference NameGeoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Pagination1914 - 1916 vol.3
Date Publishedjun.
KeywordsAIRSAR, Beaufort Sea, C-band, complex Wishart classifier, geophysical signal processing, image classification, JPL, L-band, measurement technique, multifrequency radar, ocean, oceanographic techniques, P-band, radar imaging, radar polarimetry, radar remote sensing, remote sensing by radar, SAR, sea ice, SHF, synthetic aperture radar, two stage process, UHF

This paper discusses the capability of the complex Wishart classifier for sea ice and classification using multifrequency, fully polarimetric SAR data. C-, L-, and P-band data acquired by the JPL AIRSAR in the Beaufort Sea was used. Classification using the unsupervised Wishart classifier is a two-stage process. An initial classification is required to seed the algorithm and can be derived using other classification methods. The Wishart classifier then used in iterations where the class means are updated after every step. The convergence of this approach is investigated. The Wishart classifier was found to be extremely dominant so that the classification result after a few iterations depends not necessarily on the initial classification used to derive the first class means. Even an initial classification derived with a random number generator leads to a good result after a few iterations.


a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2021 The University of British Columbia